Land Plot Selection Rationale for the Location of Linear Facilities
Обоснование выбора земельного участка для размещения линейных объектов
2019-04-19
SCID: 54.1/wqt6yet4
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analytic hierarchy processgas pipeline routingland allocationland plot selectionlinear facilities
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Abstract (AI)
Nowadays, the issue of land plot selection for linear facilities is relevant because of high land load rate world-wide. The given research into establishing a rationale for linear facilities location focuses on the determination of an optimum alternative. The method used is based on the expert analytic hierarchy process to improve the economic, technical and ecological justification of projects of land allocation for linear facilities of utility equipment. The method was applied in order to select a land plot for a gas pipeline. A number of factors have been proven to be crucial for decision-making, such as negative impact on agricultural activities, area and type of agricultural land, straightness of gas pipeline, construction costs, area of land with restricted use regime and to-be-reclaimed zones. A case study of land allocation for gas pipeline illustrates the solution of the task to find the most appropriate plot of land.
Key Findings
1
A gas-pipeline land-allocation case study demonstrated the method’s application for identifying the most appropriate land plot.
2
An expert-based Analytic Hierarchy Process is proposed to justify optimal land-plot selection for linear utility facilities.
3
Gas-pipeline site selection identified agricultural impact, agricultural-land area and type, pipeline straightness, and construction costs as crucial factors.
4
The analysis also considers restricted-use land and areas requiring reclamation as important location-selection criteria.
5
The method integrates economic, technical, and ecological criteria when evaluating alternative locations for linear facilities.
Research Object
land plot for a gas pipeline
Research Subject
optimal land-plot selection based on economic, technical, and ecological factors
Publication Details
Publication Date
2019-04-19
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